Data Engineer with GCP

Desired Job attributes:
 Develop robust and scalable data pipelines using GCP technologies like Apache Airflow, Dataflow, and Python for orchestrating complex workflows.
 Utilize Dataflow for real-time and batch data processing to handle large datasets efficiently.
 Work on data modeling and transformation tasks using BigQuery, ensuring optimal performance and reliability in data processing.
 Develop and maintain Python scripts for data processing, transformation, and automation.
 Utilize Python libraries and frameworks for efficient data manipulation.
 Implement and manage data storage solutions using GCP Cloud Storage, ensuring data integrity, availability, and security.
 Strong understanding of data modeling and transformation techniques and Excellent problem-solving skills with the ability to analyze complex data and database-related issues.
 Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
 Certifications. GCP data engineer will be a plus.

Roles and Responsibilities (please attach as annexure if space is not sufficient):
 Proven experience as a Data Engineer with a focus on GCP.
 Strong proficiency in Python programming for data processing and automation.
 Experience with GCP data services such as Apache Airflow, BigQuery, Dataflow, and Dataprep.
 Knowledge of data modeling and database design principles.
 Hands-on experience with ETL processes and data integration.
 Familiarity with big data technologies and distributed computing.
 Understanding of data governance, quality, and security practices.
 Excellent problem-solving and analytical skills.
 Strong communication and collaboration skills,